plot_rl_summary: Identifies all R / L interactions

In kgellatl/SignallingSingleCell: Network Analysis for single cell RNA sequencing Data (sc-RNASeq)

Description

This function will map all RL interactions

Usage

plot_rl_summary(
  input,
  group_by = FALSE,
  edge_weight = "fraction_connections",
  rank = TRUE,
  threshold = NA,
  reference = NA
)

Arguments

input	the input full_network from calc_rc_network
group_by	the pData columns calc_rl_network was calculated on to split the networks
edge_weight	the network edge_weight types. See column names of calc_rl_network$Summary
rank	whether or not to rank the edges for contrast on arrow sizes
threshold	the percentage value as a decimal
reference	the reference for grouped data

Details

This will use the calc_agg_bulk results to ID networks

Examples

ex_sc_example <- id_rl(input = ex_sc_example)

kgellatl/SignallingSingleCell documentation built on Dec. 29, 2021, 4:12 p.m.